GPT-5.6 Luna Pro API

openai/gpt-5.6-luna-pro
OpenAI's extended-reasoning configuration of GPT-5.6 Luna, trading speed for deeper reasoning on complex requests, with a 1M-token context window.
Context
1M tokens
Input
$0.27508 / 1M tokens
Output
$1.65048 / 1M tokens
Released
Jul 9, 2026

Overview

What Is GPT-5.6 Luna Pro API?

GPT-5.6 Luna Pro is described as the same underlying model as GPT-5.6 Luna, served with reasoning mode set to pro for higher-quality responses on complex tasks. It is listed as an OpenAI model under the id openai/gpt-5.6-luna-pro.

OpenAI’s documentation describes Luna as the cost-sensitive, high-volume GPT-5.6 tier, and separate guidance says pro mode performs more model work before returning a single final answer.

Technical Reference

DeveloperOpen AI
Model IDopenai/gpt-5.6-luna-pro
Release DateJuly 8, 2026
Context Window1,050,000 tokens (~1.1M)
Max Output Tokens128,000 tokens
ModalitiesImage, Text → Text
Capabilitiesfile input, parallel tool calls, reasoning, streaming, structured (JSON schema) output, tool/function calling, vision

What GPT-5.6 Luna Pro Brings to the Table

Pro reasoning mode
The model uses reasoning.mode set to pro for higher-quality responses on complex tasks.

Underlying model
It is the same underlying model as GPT-5.6 Luna.

OpenAI API listing
OpenAI’s API documentation includes GPT-5.6 Luna as a named model, and third-party model listings identify the Pro variant by the exact id openai/gpt-5.6-luna-pro.

Higher-quality complex-task behavior
The pro configuration is described as doing more model work for difficult tasks before producing its final answer.

API Pricing

  • Input: $0.26 / 1M tokens
  • Output: $1.56 / 1M tokens
  • Cached input: $0.026 / 1M tokens

Where GPT-5.6 Luna Pro Makes the Most Sense

Complex task handling
Suitable for requests where additional model work is preferred to improve answer quality on harder problems.

High-volume workloads
The Luna tier is described as cost-sensitive and high-volume, making the Pro configuration relevant when that tier is needed with pro reasoning.

Single final-answer workflows
OpenAI’s pro mode guidance describes returning one final answer after additional internal work.

GPT-5.6 Luna Pro vs the Alternatives

GPT-5.6 Luna
The base Luna model is the same underlying model without the pro reasoning mode.

GPT-5.6 Terra
OpenAI positions Terra as a separate GPT-5.6 tier alongside Luna.

GPT-5.6 Sol
OpenAI positions Sol as another GPT-5.6 tier alongside Luna and Terra.

Sources: https://medium.com/@techlatest.net/gpt-5-6-models-explained-sol-vs-terra-vs-luna-pro-models-features-which-one-should-you-choose-6693668917f7 · https://openai.com/index/gpt-5-6/ · https://developers.openai.com/api/docs/models/gpt-5.6-luna

Uptime and performance

  • Uptime (7d): 75.0%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

GPT-5.6 Luna Pro is documented as suited for high-volume API workloads like summarization, classification, and data extraction. It is also suited for long-context document Q&A and legal or medical record analysis. Another documented use case is vision-enabled agents that parse screenshots, charts, and PDFs. It is also described as useful for coding assistance and multi-file repository reasoning.

How to use GPT-5.6 Luna Pro API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to openai/gpt-5.6-luna-pro.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "openai/gpt-5.6-luna-pro",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/gpt-5.6-luna-pro",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-5.6-luna-pro","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

GPT-5.6 Luna Pro API Pricing

TypePrice
Input
$0.27508 / 1M tokens
Output
$1.65048 / 1M tokens
Cached input
$0.027508 / 1M tokens

GPT-5.6 Luna Pro has documented cache-write billing at 1.25× the uncached input token rate, and prompts with more than 272K input tokens are billed at 2× input and 1.5× output for the full request.

GPT-5.6 Luna Pro vs other models

ModelInputOutputContextBest for
$0.27508 / 1M tokens
$1.65048 / 1M tokens
1M tokens
Agentic workflows and structured output
$0.0975 / 1M tokens
$0.325 / 1M tokens
1M tokens
Coding + agentic reasoning
$0.82524 / 1M tokens
$8.2524 / 1M tokens
1M tokens
Reasoning + agents
$0.41262 / 1M tokens
$3.4385 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

GPT-5.6 Luna Pro has a 1,050,000 tokens context window and can return up to 128,000 tokens.

GPT-5.6 Luna Pro takes image, text as input and returns text.

Use openai/gpt-5.6-luna-pro as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

GPT-5.6 Luna Pro became available on July 9, 2026.

GPT-5.6 Luna Pro is priced at input $0.27508 / 1M tokens, output $1.65048 / 1M tokens, cached input $0.027508 / 1M tokens.

Yes, GPT-5.6 Luna Pro can stream responses as they are generated.

Yes, GPT-5.6 Luna Pro accepts image input alongside text.

GPT-5.6 Luna Pro was built by OpenAI.

Yes, it supports tools including parallel tool calls.

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